Research On Train Operation Scheme Of Xi'an Urban Rail Transit

With the rapid growth of China's urban economy and the rapid expansion of population,the urban surface traffic is becoming increasingly serious.So Rail transit has developed rapidly with the advantages of large volume,small interference and fast speed,it has been or is being built in major cities.Urban rail transit has become an important means of transportation in People's Daily life,it has become an important tool to improve people's living convenience and drive economic growth.However,it is found in the investigation and research that the subway load rate of many cities in China is unsatisfactory,and the operation department still adopts the traditional method to formulate the train operation plan.This is relatively backward for the metro which changes faster and has more variable factors,and may affect the service level of the metro under certain conditions.In this context,based on the original research,this paper summarizes the factors that affect the train operation plan,establishes the objective function that makes the subway operator cost the lowest and the passenger travel cost the lowest,and establishes a series of relevant constraints and uses the traditional genetic algorithm to calculate and analyze.Firstly,this paper introduces the urban rail transit train operation plan,to clear the composition of the train operation plan and influencing factors,analyze urban rail transit train plan of specific factors,based on the analysis of the passenger flow of urban rail transit train plan.Secondly,the urban rail transit operation plan optimization model is established,the subway operating company operating cost minimum,make passenger travel cost minimum,and set up corresponding to the two objective function constraint conditions,then summarize the objective function using the linear weighted method to get comprehensive model,carried on the thorough analysis to the problem.Thirdly,the development history and basic ideas of genetic algorithm are introduced,and the basic operations of genetic algorithm are analyzed,including genetic coding,fitness function calculation and genetic operator.Finally,make the subway in Xi 'an as an example,to use traditional genetic algorithm to optimize the operation scheme for xi 'an subway,by iterating can optimize the train start frequency and number of grid,greatly reduce the passenger waiting time,reduce the cost of target value,ultimately determine the operation scheme of the four subway lines optimal value in the end.